Ct radiomic features of pancreatic neuroendocrine neoplasms (panNEN) are robust against delineation uncertainty

Martina Mori, Giulia Benedetti, Stefano Partelli, Carla Sini, Valentina Andreasi, Sara Broggi, Maurizio Barbera, Giovanni M. Cattaneo, Francesca Muffatti, Marta Panzeri, Massimo Falconi, Claudio Fiorino, Francesco De Cobelli

Research output: Contribution to journalArticlepeer-review


Purpose: The aim of this study was to quantify the impact of CT delineation uncertainty of pancreatic neuroendocrine neoplasms (panNEN) on Radiomic features (RF). Methods: Thirty-one previously operated patients were considered. Three expert radiologists contoured panNEN lesions on pre-surgical high-resolution contrast-enhanced CT images and contours were transferred onto pre-contrast CT. Volume agreement was quantified by the DICE index. After images resampling and re-binning, 69 RF were extracted and the impact of inter-observer variability was assessed by Intra-Class Correlation (ICC): ICC > 0.80 was considered as a threshold for “very high” inter-observer agreement. Results: The median volume was 1.3 cc (range: 0.2–110 cc); a satisfactory inter-observer volume agreement was found (mean DICE = 0.78). Only 4 RF showed ICC < 0.80 (0.48–0.73), including asphericity and three RFs (of five) of the neighborhood intensity difference matrix (NID). Conclusions: The impact of inter-observer variability in delineating panNEN on RF was minimum, with the exception of the NID family and asphericity, showing a moderate agreement. These results support the feasibility of studies aiming to assess CT radiomic biomarkers for panNEN.

Original languageEnglish
Pages (from-to)41-46
Number of pages6
JournalPhysica Medica
Publication statusPublished - Jan 2019


  • CT imaging
  • Inter-observer variability
  • Neuroendocrine tumors
  • Pancreatic tumors
  • Radiomics

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging
  • Physics and Astronomy(all)


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